gis data production and editing pathway -...

GIS Data Production

and

Editing Pathway

Table of Contents

ArcGIS Desktop II: Tools and Functionality _______________________________________ 3

ArcGIS Desktop III: GIS Workflows and Analysis __________________________________________ 6

Building Geodatabases ______________________________________________________________ 8

Creating and Maintaining Metadata Using ArcGIS Desktop ________________________________ 10

Data Production and Editing Techniques ______________________________________________ 12

Creating and Editing Parcels with ArcGIS Desktop _______________________________________ 17

Creating and Integrating Data for Natural Resource Applications ___________________________ 19

Geoprocessing Using ModelBuilder ___________________________________________________ 21

Introduction to the Multiuser Geodatabase ____________________________________________ 22

Linear Referencing with ArcGIS Desktop _______________________________________________ 25

QA/QC for GIS Data _______________________________________________________________ 27

ArcGIS Desktop II: Tools and Functionality 3 days (24 hours) Authored by ESRI

Overview

This course is part of the ArcGIS Desktop 9.3 Foundational Training Curriculum. The ArcGIS 9.2

version of this course was titled Introduction to ArcGIS I.

ArcGIS Desktop software is an integrated system that includes all the tools needed to get the

most out of a GIS. This course teaches the range of functionality available in the software and

the essential tools for visualizing, creating, managing, and analyzing geographic data. The

hands-on course exercises emphasize practice with ArcMap and ArcCatalog (the primary

applications included with ArcGIS Desktop software) to perform common GIS tasks and

workflows. The tools for creating and managing geographic data, displaying data on maps in

different ways, and combining and analyzing data to discover patterns and relationships are

highlighted, and you learn how ArcGIS Desktop provides a complete GIS software solution. By

the end of the course, you will be prepared to start working with the software on your own.

Who Should Attend

This course is designed for those with an education in or workplace experience with GIS but no

ArcGIS software experience. This course assumes knowledge of basic GIS concepts. This course

teaches the skills and knowledge needed to take other ArcGIS courses, including ArcGIS Desktop

III: GIS Workflows and Analysis

Goals

.

Those who complete this course will be able to

List common GIS tasks and identify which ArcGIS Desktop application is used for each

task.

Understand what the geodatabase offers for GIS data storage.

Create and edit geodatabase features.

Control the appearance and display of data layers in ArcMap.

Classify and symbolize map data.

Label map features.

Change the coordinate system and map projection used to display a dataset.

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Access feature information in tables and control table display properties.

Query and analyze GIS data.

Create presentation-quality maps and graphs.

Topics Covered Table of Contents [PDF 25kb]

Investigating geographic data: How geographic data is stored; Vector and raster data;

Geodatabase basics and advantages; Shapefiles; Coverages; CAD data; Managing data in

ArcCatalog; Displaying data in ArcMap; ArcMap basics; Data and layers.

Managing map layers: Zooming to layers; Bookmarks; Display windows; Scale ranges;

Group layers; Selection layers; Layer files; Creating hyperlinks.

Symbolizing categorical data: Symbology; Choosing symbology; Types of symbols

(marker, line, fill); Creating symbols.

Symbolizing quantitative data: Symbology options (graduated colors, graduated symbols,

proportional symbols, dot density, charts); Classification methods (Natural Breaks, Equal

Interval, Quantile, Manual); Excluding data from a classification; Rendering raster data.

Labeling map features: Label placement for different feature types (points, lines,

polygons); Label symbology; Controlling label display using scale range and SQL query;

Label classes; Label expressions; Label ranks and weights; What is annotation?;

Geodatabase annotation; Map annotation.

Using coordinate systems and map projections: What is a coordinate system?;

Geographic coordinate systems; Datums; Projected coordinate systems; Map projections;

Feature classes and coordinate systems; Data frames and coordinate systems;

Geographic transformations; Working with an unknown coordinate system; Projecting

data; Defining a projection.

Making a map layout: Working in layout view; Tools for arranging map elements; Data

frame properties for layouts; Adding legends, scale bars, and other map elements;

Exporting maps; Working with map templates.

Managing tables: Table structure; Layer attribute tables; Nonspatial tables; Getting

information from tables; Field properties; Table appearance; Creating graphs and

reports; Connecting tables using joins and relates; Cardinality.

Editing features and attributes: Reasons to edit data; Working with the Editor toolbar;

Edit sketches; Common editing tools; Edit tasks; Snapping to features while editing;

Editing attributes; Calculating values for geometry fields; Working with coincident

geometry in a map topology; Typical editing workflow.

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Creating geodatabases and feature classes: Types of geodatabases; Geodatabase

organization; Feature class organization; Feature class properties and attributes;

Metadata; Creating, viewing, and editing metadata; Importing and exporting metadata;

Creating features in a new feature class.

Getting locations from attributes: Adding x,y coordinate data; Finding places and

addresses; Finding routes and nearby places; Geocoding; Geocoding components

(address table, address locator, reference data); Address matching overview; Geocoding

workflow; Reference data sources.

Solving spatial problems with query and analysis: GIS analysis basics; Typical analysis

workflow; Common analysis operations (attribute and spatial queries, clipping data from

layers, buffering features, overlaying features); Overview of geoprocessing; Analysis

results.

Customizing ArcGIS Desktop: Why customize the interface?; Customize dialog box;

Locating commands; Adding new toolbars, commands, and menus; Saving

customizations; Saving to a template; Storing templates.

Prerequisites

Students should have completed ArcGIS Desktop I: Getting Started with GIS or Getting Started

with GIS

Software Used in Course

or have equivalent knowledge.

This course is designed to work with the following software:

ArcGIS Desktop* Version

ArcEditor 9.3

ArcInfo 9.3

ArcView 9.3

*Only one of the listed licenses will be used in the classroom.

ArcGIS Desktop III: GIS Workflows and Analysis 2 days (16 hours) Authored by ESRI

Overview

This course is part of the ArcGIS Desktop 9.3 Foundational Training Curriculum. The ArcGIS 9.2 version of this course was titled Introduction to ArcGIS II.

Understanding how and when to apply ArcGIS tools and functions is the key to creating an

efficient GIS workflow. Building on the skills and knowledge taught in ArcGIS Desktop II: Tools

and Functionality, this course shows how to apply ArcGIS tools in a workflow context with a focus

on working with data stored in a geodatabase and performing geoprocessing and analysis. In the

course exercises, you organize and edit data stored in a geodatabase, prepare data for analysis,

create and edit geoprocessing models using ModelBuilder, and work through a challenging

analysis project.

Who Should Attend

This course is designed for experienced ArcGIS users who want to learn more about the ArcGIS

tools for creating and editing data and GIS analysis.

Goals

Those completing this course will be able to

Add data from different sources to a geodatabase.

Work with subtypes to edit data.

Edit and validate feature geometry and attributes using geodatabase topology.

Run analysis tools using dialog boxes and models.

Build a complex model using ModelBuilder.


Getting data into the geodatabase: Advantages of migrating data to the geodatabase;

File and personal geodatabases; Loading and importing data; Data sources available for

conversion; ArcToolbox conversion tools; Importing and exporting data in ArcCatalog;

Importing and exporting data using XML; Copying and pasting data between

geodatabases; Batch and single conversions; Loading data into existing feature classes

using the Simple Data Loader; Displaying x,y coordinate data from a table; Accessing

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tabular data using an OLE DB connection; Adding data from a GIS server; Working with

map projections and datums.

Geodatabase behavior: What is behavior?; Advantages of using behaviors; Default

values; Subtypes; Domains; Geodatabase topology.

Editing GIS data: Creating new data (digitizing, copying and pasting features, Editor

menu commands); Constructing an edit sketch using constraints (direction, length,

parallel); Creating adjacent polygons using the Auto-Complete Polygon task; Modifying

existing features; Reshaping existing features and boundaries; Exploding multipart

features; Editing using domains, subtypes, and topology.

Aligning spatial data: Common data alignment problems; Georeferencing CAD data;

Matching layer boundaries; Transformation; Rubber sheeting; RMS error.

Managing geoprocessing tools and settings: Types of toolboxes and how they are stored;

Types of tools (system tools, models, scripts); Locating tools in ArcToolbox; Executing

tools; Tool parameters; Parameter error detection; Environment settings; Tool layers;

Geoprocessing results.

Analyzing GIS data: Review of common analysis tools (Buffer, Clip, Intersect, Select,

Union); Working with feature proximity tools (Near, Spatial Join, Multiple Ring Buffer,

Create Thiessen Polygons); Analyzing tabular data; Creating a raster subset; Analysis

options outside of core ArcGIS Desktop; Typical analysis workflow.

Using ModelBuilder for analysis: Working with ModelBuilder; Creating and designing

models; Model elements (tools and variables); Setting general model properties; Setting

model parameters; Environment settings; Intermediate data; Running and

troubleshooting a model; Creating model documentation.

GIS analysis projects: Real-world GIS analysis projects (Find the best site for a new

shelter, Find the mileage of flooded roads); The analytical process for each project.

Prerequisites

Students should have completed ArcGIS Desktop II: Tools and Functionality or Learning ArcGIS

Desktop




ArcGIS Desktop Version

ArcInfo 9.3

Building Geodatabases 3 days (24 hours) Authored by ESRI

Overview

This course provides an overview of the structure and capabilities of the geodatabase. You learn

how to create a geodatabase, migrate existing GIS data to a geodatabase, and edit and maintain

data stored in a geodatabase. The course covers some advanced geodatabase topics including

how to build a geodatabase topology; maintain data integrity using subtypes, attribute domains,

and relationship classes; and create a geodatabase schema. In course exercises, you work with

the file geodatabase and learn how to migrate personal geodatabase data to a file geodatabase

and create various geodatabase components.

Who Should Attend

This course is designed for experienced ArcGIS users who want to store data in a geodatabase

and take advantage of advanced geodatabase functionality. Data managers will find this course

of particular benefit. Those who will be working with a multiuser geodatabase may also wish to

enroll in Introduction to the Multiuser Geodatabase

Goals

, which pairs well with this course.


Understand the geodatabase structure.

Explain advantages of a file geodatabase.

Understand advantages of geodatabase validation rules.

Load vector and raster data into a geodatabase.

Create and apply attribute domains, subtypes, and relationship classes.

Edit data using attribute domains, subtypes, and relationship classes.

Create and edit geodatabase annotation.

Create geodatabase topology and apply topology rules.

Edit topological data.

Perform geometric network editing and tracing.



Introduction to the geodatabase: Advantages of the geodatabase; Focusing on the file

geodatabase; Overview of elements within the geodatabase; Geodatabase tables in a

database management system (DBMS).

Attribute validation rules: Subtypes and domains; Creating subtypes; Editing subtypes in

ArcMap; Creating domains; Editing with domains in ArcMap; Coded value versus. range

domains; Subtypes and relationship rules.

Relationship classes: Creating relationship classes; Setting relationship class properties;

Using relationships in ArcMap; Relationship rules; Validation; Simple versus. composite

relationships.

Annotation: Creating, editing, and managing annotation features in the geodatabase.

Geodatabase topology: Topology management in the geodatabase; Building a topology;

Setting the properties of a topology; Setting appropriate topological rules; Fixing

topological errors; Editing topological data.

Geometric networks: Creating and editing geometric networks; Performing analysis;

Setting and using connectivity rules.

Building geodatabase schema: Different ways to define geodatabase schema; Creating

tables, feature classes, and feature datasets.

XML data interchange: Understanding XML schemas of the geodatabase; Exporting the

contents of a geodatabase to XML; Importing an XML file into a geodatabase.

Vector data in the geodatabase: Loading data from shapefiles, CAD files, coverages, and

Excel spreadsheets; Using ArcGIS vector data loading tools.

Raster data in the geodatabase: Storing raster datasets, raster catalogs, and raster

attributes in the geodatabase.

Prerequisites


Desktop





ArcEditor 9.3

ArcInfo 9.3


Creating and Maintaining Metadata Using ArcGIS Desktop 3 modules (9 hours) Authored by ESRI

Overview

Metadata, the key information that documents a dataset, has emerged as a powerful tool for

safeguarding an organization's investment in spatial data. Documenting datasets allows people

to efficiently find them, evaluate their usefulness for a particular project, and share them with

others. This course shows how metadata supports efficient management and use of spatial data

and teaches practical strategies for creating and maintaining metadata using ArcGIS Desktop

software. Students learn how to write proper metadata using tools in ArcCatalog and how to

automate metadata workflows using templates.

Who Should Attend

This course is designed for experienced ArcGIS users who work with, create, edit, or manage

spatial data.

Goals


Describe the benefits of creating and maintaining metadata.

Explain the advantages of adhering to a metadata standard.

Implement an appropriate metadata standard.

Search metadata to find datasets.

Evaluate datasets using metadata.

Plan metadata content.

Write proper metadata.

Create templates and use sample code to streamline metadata production.

Identify various ways to share metadata.

Topics Covered

Getting Started with Metadata: The value of metadata; Finding data and applying

metadata standards

Creating and Editing Metadata: Creating metadata; Planning metadata content

Planning a Metadata Workflow: Developing a metadata workflow; Sharing your metadata

Prerequisites

Students should have completed Learning ArcGIS Desktop

Software Required


To complete course exercises, you need the following software:


ArcView 9.1, 9.2 or 9.3

ArcEditor 9.1, 9.2 or 9.3

ArcInfo 9.1, 9.2 or 9.3

*Only one product in this category is required.

Data Production and Editing Techniques 3 days (24 hours) Authored by ESRI

Overview

Intended for the GIS technician, this course teaches the software skills and concepts needed to

automate and maintain feature data in an ArcGIS geodatabase. Using the tools available with

ArcGIS software, you learn techniques for data preparation, conversion, and editing. You also

learn how topology and other geodatabase validation rules help maintain data integrity as part of

an editing workflow. This course teaches practical methods for working with spatial and attribute

data with an emphasis on data stored in the geodatabase. Each day concludes with a project,

allowing you to apply these techniques on your own.

Who Should Attend

This course is designed for experienced ArcGIS users who need to create and update data. GIS

technicians responsible for maintaining their organizations' geographic data holdings will find the

course of particular benefit. Those who are interested in automating data creation and

maintenance tasks using scripts may also wish to enroll in Geoprocessing Using ModelBuilder

Goals

,

which pairs well with this course.


Convert data stored in different formats to the geodatabase format.

Use a data workflow and editing process in ArcGIS.

Solve common coordinate system problems.

Create and modify features using ArcMap sketch and edit tools.

Create and edit feature attributes and tables.

Maintain data integrity with geodatabase rules.

Create metadata to document datasets.


Importing and loading data: Geodatabase data loading workflow; Evaluating source data;

Preparing source data; Creating geodatabase tables and feature classes; Data loading

tools; Post-loading workflow; Setting metadata.


Correcting coordinate systems: Coordinate systems overview; Coordinate system

properties; Geographic (datum) transformations; Coordinate system problems and

solutions; Projection on-the-fly in ArcMap; Setting coordinate system properties in

ArcMap; Projection and coordinate system transformation tools; Data integration tools.

Spatially adjusting features: Correcting an unknown coordinate system; Spatial

Adjustment tools for features; Adding links; Adjustment methods; Integrating new

features; Georeferencing rasters (summary).

Data loading project: Students independently use the skills learned in the previous

lessons to correct, load and integrate several data layers into a geodatabase.

Creating features visually: Feature creation techniques overview; Digitizing workflow;

Feature geometry concepts; Board vs. heads-up digitizing; Discrete vs. Spaghetti style

digitizing; Creating polygons from lines and points; Setting the edit environments.

Creating features geometrically: Sketch tools and context menus; Feature construction;

Editing environments; Choosing a sketch tool; Sketch construction constraints; Sketch

construction options; Creating straight and curved segments; Centerline construction;

Parallel construction; Perpendicular construction; Curve construction; Distance-Distance

construction.

Editing features: Finding geometry errors; Handling overlapping polygons; Merging and

exploding multipart features; Creating and editing multipart features; Reshaping

features; Merging features; Splitting features; Tracing features; Editing tips.

Editing with map topology: Coincident and shared geometry; Topology edges and nodes;

Map topology concepts; Map topology workflow; Moving nodes; Moving edges; Reshaping

edges; Modifying edges; Splitting edges; Digitizing and constructing features in a map

topology; Excluding features; Clipping polygons with a line buffer.

Feature creation and editing project: Students independently use the skills learned in the

previous lessons to update multiple feature classes with new features.

Creating attributes: Feature attributes and sources; Adding during or after feature

creation; Attributes editor and tables; Using defaults, subtypes, and domains; Using the

Field Calculator; Transfer from a joined table, from a feature, and from a spatially joined

feature class.

Editing attributes and tables: Finding attribute errors with Validate, Summarize, queries,

and visual inspection; Attribute editing tools; Using SQL in selections; Making global edits

with the Field Calculator and Find & Replace; Editing attributes with Visual Basic; Adding

and deleting fields; Exporting records and fields; Creating and using an attribute domain;

Creating and using a relationship class with rules.

Editing with geodatabase topology: Geodatabase topology concepts and workflow;

Creating a topology with ranks and rules; Setting the cluster tolerance; Validating a

topology; Errors and dirty areas; Using the Error Inspector; Fixing various topology

errors.

Data maintenance project: Students independently use the skills learned in the previous

lessons to correct attribute and topology errors in a new subdivision.

Prerequisites


Desktop





ArcEditor 9.3

ArcInfo 9.3


Geoprocessing with ArcGIS Desktop 5 modules (15 hours) Authored by ESRI

Overview

Requires ArcGIS 9.2 or 9.3.

Geoprocessing is a primary function of a GIS. ArcGIS Desktop software provides hundreds of

tools for processing geographic data as well as ModelBuilder, a graphical environment for

visualizing and executing workflows. This five-module course teaches practical strategies for

using the ArcGIS geoprocessing framework to accomplish GIS workflows. Students work with

geoprocessing tools to create and organize workspaces, prepare data for analysis, and perform

GIS analysis tasks, then learn how to streamline processes using models and scripts. Students

also learn how to create custom geoprocessing tools and document custom tools, scripts, and

models. This course provides a solid foundation in the ArcGIS Desktop geoprocessing framework

and emphasizes hands-on practice through software exercises.

Who Should Attend

This course is designed for experienced ArcGIS Desktop users who want to use geoprocessing

tools and models in their GIS projects.

Goals


Set up and modify the geoprocessing environment.

Find and run the appropriate geoprocessing tools for a variety of tasks.

Prepare data for analysis.

Use geoprocessing tools to create, modify, and analyze spatial data.

Create custom geoprocessing tools and models.

Model workflows using geoprocessing tools and ModelBuilder.

Automate and refine geoprocesses using scripting.

Document geoprocessing methods for reusability and sharing.

Topics Covered

Getting Started with Geoprocessing: What is geoprocessing?; Geoprocessing with ArcGIS

Data Preparation: About the lynx project; Setting up your work environment; Preparing

your data for analysis

Data Analysis: Modeling your workflow; Refining your analysis

Getting More Out of Geoprocessing: Introduction to scripting; Using scripts in models

Documenting Your Work: Documentation for geoprocessing; Sharing your work

Prerequisites


Desktop

Software Required

.



ArcView 9.2 or 9.3

ArcEditor 9.2 or 9.3

ArcInfo 9.2 or 9.3


Other Version

PythonWin 2.4 or 2.5

Creating and Editing Parcels with ArcGIS Desktop 2 days (16 hours) Authored by ESRI

Overview

This course provides an introduction to storing and maintaining cadastral data in a geodatabase

using COGO (Coordinate Geometry) tools in ArcGIS Desktop. You learn basic concepts of the

geodatabase data model and a process for editing parcels. In course exercises, you practice

displaying, symbolizing, and editing parcel data as well as entering subdivisions into existing

parcels. The course also teaches how to create and modify tax map annotation.

Who Should Attend

This course is designed for tax mapping professionals and GIS technicians who want to maintain

an accurate and up-to-date geographic representation of local cadastral data.

Goals


Understand the structure and capabilities of a geodatabase.

Symbolize cadastral data.

Create layer files.

Set up the ArcMap editing environment.

Create new features using COGO bearing and distance measurements.

Adjust traverses to fit into an existing parcel framework.

Use geodatabase topology to ensure data integrity.

Use many of the ArcMap editing and drawing tools.

Create and modify annotation including lot dimensions.

Enter subdivisions.


Introduction to the geodatabase: Data storage options; Geodatabase structures and

permissions; Multiuser vs. personal geodatabase.

Symbology and navigation: Unique values; Single symbol; Cartographic symbols; Finding

features; Selecting features.


The editing environment: Edit sessions; Snapping; Units; Task/Target; Selectable layers;

Coincident features; Topology.

The process of subdividing parcels: Entering lines; Adjusting lines; Creating polygons;

Creating annotation.

Entering closed traverses: From plats; From deeds.

Tools overview: Copy features tool; Fillet tool; Extend tool; Trim tool; Proportion tool;

Topology error inspector.

Working with geodatabase annotation: Feature-linked annotation; Standard annotation.

Practice entering a subdivision: COGO; Georeferencing plats; Heads-up drawing;

Importing from CAD.

Prerequisites


Desktop


or have equivalent experience. They should also be familiar with tax mapping

terminology and practices.



ArcEditor 9.3

ArcInfo 9.3


Creating and Integrating Data for Natural Resource Applications 4 modules (12 hours) Authored by ESRI

Overview

Requires ArcGIS 9.2 or 9.3.

Frequently, the natural resource data needed for a project (such as vegetation, species locations,

or watersheds) does not exist. Or, the data may exist but significant manipulation is required

before it can be displayed and used for analysis in a GIS. This four-module course teaches

methods for acquiring, evaluating, creating, manipulating, and integrating data in preparation for

analysis and map creation. Students learn tips for assembling a high-quality database, as well as

best practice approaches to data problems commonly encountered by those in the natural

resource and conservation fields. In a course project, students apply the skills they've learned

throughout the course.

Who Should Attend

This course is designed for experienced ArcGIS users who want to create and integrate vector

and raster data for conservation projects or other natural resource applications.

Goals


Evaluate existing data.

Assess data errors.

Create spatial and attribute data.

Use a hard-copy map to create new features.

Derive new data from existing spatial data.

Integrate data collected in the field with other sources of data.

Interpolate raster surfaces.

Correct data alignment problems.

Apply basic analysis tools to combine and derive new data.

Topics Covered

Data Acquisition: Understanding your data needs; Locating existing data; Data

preprocessing

Data Creation: Adding field data to ArcGIS; Paper to digital conversion; Creating new

data from existing data

Data Integration and Error Assessment: Integrating data layers; Data error

Preliminary Data Analysis: Exploring your data; Course project: Identify a site for remote

bush lodges

Prerequisites

Students should have completed Learning ArcGIS Desktop and Working with Rasters in ArcGIS

Desktop

Software Required




ArcView 9.2 or 9.3


ArcInfo 9.2 or 9.3


ArcGIS Extensions Version

Spatial Analyst 9.2 or 9.3

Geoprocessing Using ModelBuilder 60 minutes Authored by ESRI

Overview

Geoprocessing is an essential aspect of GIS that provides the ability to analyze and process

geographic data. Geoprocessing tools can be accessed in ArcGIS via dialog boxes, the command

line, multipart scripts, or visual workflow models. ModelBuilder provides a graphical modeling

framework for designing and implementing geoprocessing models that can include system tools,

scripts, models, and data. This seminar discusses how ModelBuilder can be used to create

advanced procedures and workflows.

The presenter will discuss:

Creating, editing, and running models

How to make models more dynamic by exposing model parameters and working with

environment settings and variables

Validating, repairing, and documenting models to share with others

This presentation applies to the following software:


ArcView 9.0, 9.1 or 9.2

ArcEditor 9.0, 9.1 or 9.2

ArcInfo 9.0, 9.1 or 9.2

Who Should Attend

This seminar is intended for ArcGIS Desktop users who want to use ModelBuilder to make their

geoprocessing tasks more streamlined and efficient.

Prerequisites

Participants should be familiar with ArcGIS Desktop and have a basic understanding of the

ArcGIS geoprocessing framework.

Introduction to the Multiuser Geodatabase 2 days (16 hours) Authored by ESRI

Overview

The multiuser geodatabase uses ArcSDE technology and a relational database management

system (RDBMS) to store large amounts of GIS data that many users may concurrently access.

This course, designed for the end user of a multiuser geodatabase, shows how to leverage the

powerful capabilities offered by the multiuser geodatabase. You learn how to perform GIS tasks

in a multiuser environment and how the multiuser environment differs from the file geodatabase

or personal geodatabase for Microsoft® AccessTM

Who Should Attend

environment. The course also discusses

geodatabase functionality in the context of an editing environment, fundamental editing workflow

procedures, and clientside performance considerations. This course does not focus on a specific

supported RDBMS and is suitable for those working with desktop, workgroup, and enterprise

ArcSDE geodatabases.

This course is designed for experienced ArcGIS users who are familiar with the geodatabase data

model and are migrating to a multiuser geodatabase environment. GIS managers will also find

the course a useful introduction to the capabilities and uses of a multiuser geodatabase. Those

who want to learn how to create the structure of a geodatabase and add "smart" features such

as subtypes, domains, and relationship classes, may wish to enroll in Building Geodatabases

Goals

,

which pairs well with this course.


Describe advantages of working with a multiuser geodatabase.

Understand the differences between desktop, workgroup, and enterprise geodatabases.

Understand properties of geodatabase connections.

Examine vector and raster data in a multiuser geodatabase.

Optimize the performance of client applications.

Edit data stored in a multiuser geodatabase.

Understand fundamental concepts of versioning workflow procedures.

Perform checkout/check-in geodatabase replication for editing.


Geodatabase basics: Overview of geodatabase types; Advantages of ArcSDE

geodatabases; ArcSDE geodatabases: desktop, workgroup, and enterprise.

Exploring and connecting to the geodatabase: Application server, direct, and OLE DB

connections.

Exploring geodatabase components: Moving data between geodatabases; Vector and

raster data properties; Granting privileges on data.

Optimizing clientside performance: Performance tips for working with multiuser

geodatabases in ArcCatalog and ArcMap.

Non-versioned editing: Understanding and performing non-versioned editing;

Concurrency issues.

Versioned editing: Working with versions; Version properties and permissions; Multiuser

editing in one version and conflicts; Merging versions: reconcile, post, and conflicts.

Geodatabase replication: Overview of replica types: checkout/check-in, one-way, and

two-way; Understanding and performing checkout/check-in replication.

Prerequisites


Desktop and ArcGIS Desktop III: GIS Workflows and Analysis



Database administration experience is not required.



ArcEditor 9.3

ArcInfo 9.3


ArcGIS Server* Version

ArcGIS Server Advanced Edition 9.3

ArcGIS Server Basic Edition 9.3


ArcGIS Server Standard Edition 9.3


Other Version

ArcSDE 9.3

Microsoft SQL Server 2005 or Express

Linear Referencing with ArcGIS Desktop 3 modules (9 hours) Authored by ESRI

Overview

ArcGIS Desktop software supports linear referencing, a method of storing data that adds a new

dimension to line features. Linear referencing extends the ability to visualize and analyze linear

features such as roads, pipelines, and streams. Instead of relying solely on x,y coordinate

geometry, linear referencing is based on relative positions along the line using distance or

temporal measures, like miles or hours. For example, an accident that occurred at a specific

milepost on a highway could be modeled with linear referencing. This course covers how to

generate and display linearly referenced features in a map as well as how to incorporate them

into GIS analysis.

Who Should Attend

This course is designed for experienced ArcGIS users who want an introduction to linear

referencing.

Goals


Create simple routes from existing line features.

Assign measures to routes.

Query routes.

Symbolize routes with hatching.

Create a route feature class.

Edit route features and remeasure them.

Calibrate route measures.

Create and overlay event tables.

Generate route events.

Create and edit complex routes.

Transform route events from one measurement system to another.

Use additional analysis techniques.

Topics Covered

Introducing Linear Referencing: Routes; Symbolizing routes

Working with Linear Referencing: Route events; Editing routes; Adding complexity to

routes

Linear Referencing Analysis: Analyzing events

Prerequisites

Students should have completed Learning ArcGIS Desktop and Creating, Editing, and Managing

Geodatabases for ArcGIS Desktop

Software Required




ArcView 9.1 or 9.2


ArcInfo 9.1 or 9.2


QA/QC for GIS Data 2 days (16 hours) Authored by ESRI

Overview

Data is the foundation of every successful GIS. To ensure a reliable foundation for their GIS,

organizations should have a well-designed quality assurance (QA) plan and quality control (QC)

procedures integrated with the production and maintenance of GIS data. This course covers

errors and quality in GIS data and provides practical guidelines for creating a complete QA plan.

Using both ArcGIS Desktop and GIS Data ReViewer software (an application included with PLTS

for ArcGIS—Foundation), you learn techniques for evaluating and verifying data quality. The

course focuses on QC tools and workflows that simplify many aspects of automated and visual

data quality control tasks, with an eye toward ever-improving technology.

Who Should Attend

This course is designed for project managers, spatial data managers, and GIS technicians who

will be involved in the design and implementation of QA/QC programs for vector data production

and maintenance.

Goals


Explain the importance of QA plans and QC procedures.

Understand issues involved in GIS data quality.

Explain the content and practice of a QA plan.

Identify and detect different types of errors in GIS data.

Apply QC tools, techniques, and methodologies.

Design an error-tracking and verification process.

Topics Covered

Understanding quality and error: Definitions of QA and QC; GIS data participants; GIS

data completeness, consistency, accuracy, and resolution; Sources of error in GIS data;

Role of QA in GIS; Exploratory versus confirmatory error discovery; Finding errors

visually in ArcMap.

Creating a QA plan: QA plan concepts and sections; Management section; Design section;

Data Assessment section; Reporting and Oversight section; Workflow for creating a QA

plan; Testing with a pilot project; Writing a QA plan acceptance workflow.

Establishing data acceptance criteria and sampling strategies: Defining acceptance

criteria; Properties of acceptance criteria; Acceptance workflow; Acceptance testing

categories and requirements; Data sampling strategies and methods; Sample sizes and

tracking; Counting and calculating errors; Installing and using tools in the QAQC

Sampling Tools toolbox.

Designing a QC workflow: Defining participants and roles, QC tasks, and QC reporting;

Single and multiple group workflows; Workflow design tips; QC reviews; Diagramming a

QC workflow; QC checklists; QC reporting; Designing a QC workflow for multiple groups.

Recording and tracking errors: Reasons for tracking errors; Staff roles and

responsibilities; Stages of error recording and tracking; Steps of recording, correcting,

and verifying errors; Methods of recording errors; Recording and tracking errors with

ArcGIS Desktop tools; Recording and tracking errors with PLTS GIS Data ReViewer.

Initial QC checks: Batch validation; Checking schema (names, fields, and coordinate

systems); Checking attributes (missing or bad values); Checking geometry (bad

geometry, slivers, small features, feature counts); Checking broken validation rules;

Initial QC checks with ArcGIS Desktop tools; Initial QC checks with PLTS GIS Data

ReViewer; Creating and running PLTS GIS Data ReViewer batch checks.

Validating geometry using topology: Topology basics; Topology checks for points, lines,

and polygons; PLTS Data ReViewer geometry checks; Finding and recording topology

errors with ArcGIS Desktop tools; Finding and recording topology errors with PLTS GIS

Data ReViewer.

Visual review techniques: Performing visual QC; Setting symbols and labels; Labeling

techniques for points, lines, and polygons; Tools and methods for visual review; Tracking

and recording progress; Creating and using checkplots; Visual QC tools in PLTS GIS Data

ReViewer; Visual error inspection with ArcGIS Desktop tools; Visual error inspection with

PLTS GIS Data ReViewer.

Writing a QC report and completing the QA plan: QC reporting workflow; Categorizing

errors; Calculating error rates; Preparing a QC report; Acceptance criteria; Rejecting

data; Setting up a problem and resolution (PAR) system; Revising the QA plan.

Prerequisites


Desktop or have equivalent knowledge. Completion of Building Geodatabases


is recommended.



ArcInfo 9.3

ArcGIS Extensions Version

GIS Data ReViewer 9.3

gis data production and editing pathway -...

Documents